Search results for " Computer Vision"

showing 10 items of 352 documents

Stability and l1-gain analysis for positive 2D T–S fuzzy state-delayed systems in the second FM model

2014

This paper considers the problems of delay-dependent stability and l"1-gain analysis for a class of positive two-dimensional (2D) Takagi-Sugeno (T-S) fuzzy linear systems with state delays described by the second FM model. Firstly, the co-positive type Lyapunov function method is applied to establish sufficient conditions of asymptotical stability for the addressed positive 2D T-S fuzzy system. Then, the l"1-gain performance analysis for the positive 2D T-S fuzzy delayed system is studied. All the obtained results are formulated in the form of linear matrix inequalities (LMIs) which are computationally tractable. Finally, an illustrative example is given to verify the effectiveness of the p…

Positive 2D systemsLyapunov functionT-S fuzzy systemsCognitive NeuroscienceLinear systemLinear matrix inequalityDelay-dependent stabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy control systemState (functional analysis)Fuzzy logicStability (probability)Computer Science Applicationssymbols.namesakeArtificial IntelligenceControl theorysymbolsCo-positive type Lyapunov functionFuzzy numberCo-positive type Lyapunov function; Delay-dependent stability; Positive 2D systems; T-S fuzzy systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceMathematicsNeurocomputing
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ROS/Gazebo-Based Simulation of Quadcopter Aircrafts

2018

The main purpose of this work is to present a tutorial description on how to design and develop an observer, which is capable of estimating the position and the orientation of a drone commanded by a controller, whose shape and structure are unknown. Starting from Newton's and Euler's laws, a mathematical model describing the dynamics of a quadcopter has first been obtained. By linearizing this model it is possible to implement a Luenberger observer and validate it with simulations in a Linux environment, thanks to the use of the Ardupilot controller and the Gazebo simulator. Finally, starting from the results obtained from the simulation, it is possible to evaluate the error made in the est…

QuadcopterObserver (quantum physics)Computer sciencebusiness.industryRenewable Energy Sustainability and the EnvironmentNonlinear controlEnergy Engineering and Power TechnologyRoboticsComputer Science Applications1707 Computer Vision and Pattern RecognitionROS/GazeboNonlinear controlquad-copterDroneIndustrial and Manufacturing EngineeringRoboticComputer Networks and CommunicationControl theoryArtificial IntelligenceTrajectoryArtificial intelligenceState observerbusinessInstrumentation
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Accuracy of Rotational Parameters Predicted by High-Level Quantum-Chemical Calculations: Case Study of Sulfur-Containing Molecules of Astrochemical I…

2018

The accuracy of rotational parameters obtained from high-level quantum-chemical calculations is discussed for molecules containing second-row atoms. The main focus is on computed rotational constants for which two statistical analyses have been carried out. A first benchmark study concerns sulfur-bearing species and involves 15 molecules (for a total of 74 isotopologues). By comparing 15 different computational approaches, all of them based on the coupled-cluster singles and doubles approach (CCSD) augmented by a perturbative treatment of triple excitations, CCSD(T), we have analyzed the effects on computed rotational constants due to (i) extrapolation to the complete basis-set limit, (ii) …

Quantum chemicalPhysics010304 chemical physicsExtrapolationComputer Science Applications1707 Computer Vision and Pattern RecognitionSulfur containing01 natural sciencesMolecular physicsComputer Science ApplicationsCore electronStatistical analyses0103 physical sciencesMoleculeIsotopologueLimit (mathematics)Physics::Chemical PhysicsPhysical and Theoretical Chemistry010303 astronomy & astrophysicsJournal of Chemical Theory and Computation
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The Rank of Trifocal Grassmann Tensors

2019

Grassmann tensors arise from classical problems of scene reconstruction in computer vision. Trifocal Grassmann tensors, related to three projections from a projective space of dimension k onto view-spaces of varying dimensions are studied in this work. A canonical form for the combined projection matrices is obtained. When the centers of projections satisfy a natural generality assumption, such canonical form gives a closed formula for the rank of the trifocal Grassmann tensors. The same approach is also applied to the case of two projections, confirming a previous result obtained with different methods in [6]. The rank of sequences of tensors converging to tensors associated with degenerat…

Rank (linear algebra)Tensor rankAlgebraMathematics - Algebraic GeometryDimension (vector space)Computer Science::Computer Vision and Pattern Recognitiongrassmann tensors computer vision tensor rankFOS: MathematicsProjective spaceSettore MAT/03 - GeometriaAlgebraic Geometry (math.AG)Analysis14N05 15A21 15A69Mathematics
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A vision-based fully automated approach to robust image cropping detection

2020

Abstract The definition of valid and robust methodologies for assessing the authenticity of digital information is nowadays critical to contrast social manipulation through the media. A key research topic in multimedia forensics is the development of methods for detecting tampered content in large image collections without any human intervention. This paper introduces AMARCORD (Automatic Manhattan-scene AsymmetRically CrOpped imageRy Detector), a fully automated detector for exposing evidences of asymmetrical image cropping on Manhattan-World scenes. The proposed solution estimates and exploits the camera principal point, i.e., a physical feature extracted directly from the image content th…

Robust computer visionExploitComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRobust statisticsImage processing02 engineering and technologyCropping detectionMultimedia forensicRobustness (computer science)0202 electrical engineering electronic engineering information engineeringMultimedia Forensics Robust Computer Vision Cropping Detection Image Content AnalysisComputer visionElectrical and Electronic EngineeringSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaVision basedbusiness.industryDetectorImage content analysi020206 networking & telecommunicationsFully automatedSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessCroppingSoftwareSignal Processing: Image Communication
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I SISTEMI AEROMOBILI A PILOTAGGIO REMOTO PER LA FOTOGRAMMETRIA AEREA DI PROSSIMITÀ: VALIDAZIONI METRICHE E ANALISI DELLE PROCEDURE

La ricerca svolta affronta le problematiche connesse con la fase di pianificazione ed esecuzione delle riprese fotogrammetriche da SAPR multirotore, con la fase di processamento di blocchi fotogrammetrici e con la valutazione degli aspetti metrici. In particolare, lo scopo della tesi è quello di definire delle procedure di rilievo da SAPR e di analizzare le problematiche connesse con la modellazione tridimensionale da dati SAPR tramite software SfM/fotogrammetrici. Per raggiungere questi obiettivi sono state scelte tre differenti aree test (Il Foro Romano del sito archeologico di Sepino, Villa Lampedusa ai Colli e il sito archeologico di Eraclea Minoa) su cui è stata stati realizzata una se…

SAPR FOTOGRAMMETRIA SfM COMPUTER VISION IMAGE MATCHING DRONESettore ICAR/06 - Topografia E Cartografia
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Functional design of power-split CVTs: An uncoupled hierarchical optimized model

2017

Abstract This paper provides a new model for the preliminary design of compound power-split CVTs. Unlike the existing models, the presented method allows the engineers to prioritize functionality and efficiency of the transmission, while delaying the choice of the involved gear sets’ layout as long as possible. The design approach follows a specific priority order, and each step deals with one particular issue, without mutual interference. A smart design-chart eases the assessment and the comparison of the only eligible alternatives, and eventually leads to a final feasible constructive scheme, which can be an excellent concept for further optimization and implementation. Moreover, the mode…

Scheme (programming language)0209 industrial biotechnologyEngineeringMathematical optimizationComputationPower-split CVTBioengineering02 engineering and technologySystem of linear equationsInterference (wave propagation)Constructive020901 industrial engineering & automation0203 mechanical engineeringFunctional designMechanics of MaterialContinuously variable transmissionConfiguration designSimulationcomputer.programming_languagee-CVTbusiness.industryConfiguration designMechanical EngineeringFunctional designComputer Science Applications1707 Computer Vision and Pattern RecognitionSettore ING-IND/13 - Meccanica Applicata Alle MacchineHybridComputer Science Applications020303 mechanical engineering & transportsTransmission (telecommunications)Mechanics of Materialsbusinesscomputer
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Hidden connections: Network effects on editorial decisions in four computer science journals

2018

Abstract This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although th…

Scope (project management)business.industrymedia_common.quotation_subject05 social sciencesPotential effectComputer Science Applications1707 Computer Vision and Pattern RecognitionNetwork effectsLibrary and Information SciencesPublic relations050905 science studiesPeer reviewComputer Science ApplicationsEditorial biasBayesian networkAuthor reputationIndividual dataAnnan samhällsvetenskapAuthor reputation; Bayesian network; Editorial bias; Network effects; Peer review; Computer Science Applications1707 Computer Vision and Pattern Recognition; Library and Information Sciences0509 other social sciences050904 information & library sciencesbusinessOther Social SciencesReputationmedia_commonJournal of Informetrics
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A survey on tubulin and arginine methyltransferase families sheds light on p. lividus embryo as model system for antiproliferative drug development

2019

Tubulins and microtubules (MTs) represent targets for taxane-based chemotherapy. To date, several lines of evidence suggest that effectiveness of compounds binding tubulin often relies on different post-translational modifications on tubulins. Among them, methylation was recently associated to drug resistance mechanisms impairing taxanes binding. The sea urchin is recognized as a research model in several fields including fertilization, embryo development and toxicology. To date, some &alpha

Sea urchinPRMTSettore BIO/11 - Biologia MolecolareDrug actionmacromolecular substancesBiologyCatalysisCatalysilcsh:ChemistryInorganic ChemistryMicrotubuleArginine methylationTubulinbiology.animalGene familyPhysical and Theoretical ChemistrySea urchinlcsh:QH301-705.5Molecular BiologySpectroscopyEchinodermechinodermsOrganic ChemistryEmbryoComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineMethylationComputer Science ApplicationsCell biologyTubulinDrug developmentlcsh:Biology (General)lcsh:QD1-999embryonic structuresbiology.proteinPost-translational modification
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Time-Frequency Filtering for Seismic Waves Clustering

2014

This paper introduces a new technique for clustering seismic events based on processing, in time-frequency domain, the waveforms recorded by seismographs. The detection of clusters of waveforms is performed by a k-means like algorithm which analyzes, at each iteration, the time-frequency content of the signals in order to optimally remove the non discriminant components which should compromise the grouping of waveforms. This step is followed by the allocation and by the computation of the cluster centroids on the basis of the filtered signals. The effectiveness of the method is shown on a real dataset of seismic waveforms.

SeismometerInformation Systems and ManagementBasis (linear algebra)Computer sciencebusiness.industryComputationEarthquakes clusteringCentroidWaveforms clusteringComputer Science Applications1707 Computer Vision and Pattern RecognitionPattern recognitionInformation SystemSeismic noiseTime-frequency filteringwaveforms clustering earthquakes clustering time-frequency filteringSeismic wavePhysics::GeophysicsComputingMethodologies_PATTERNRECOGNITIONWaveformArtificial intelligenceSettore SECS-S/01 - StatisticaCluster analysisbusinessAnalysis
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